Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC235B726332B8B883CB91DDF7382E46B2D29989F9C74594F5C9568D23C3C8062977B4 |
|
CONTENT
ssdeep
|
768:aX+EsZx8/G876RF4mDawyMLB6wqwMLBkUcix+y9dQpUDF1E56ITmHDLBABW8KPqA:aX+EsZ/87MOmDawyMLB6wqwMLBkUXx+q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eec1e6c499e4c493 |
|
VISUAL
aHash
|
8181819999918181 |
|
VISUAL
dHash
|
0771713171714d31 |
|
VISUAL
wHash
|
ff9d919999998181 |
|
VISUAL
colorHash
|
39003000180 |
|
VISUAL
cropResistant
|
0771713171714d31,c0c0c0c0c0e06c6f,92826272727282a0,23f0f43071f08c30 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 18 techniques to evade detection by security scanners and make reverse engineering more difficult.